NOAA Space Weather — Solar & Geomagnetic Intelligence MCP Server for OpenAI Agents SDK 6 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect NOAA Space Weather — Solar & Geomagnetic Intelligence through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="NOAA Space Weather — Solar & Geomagnetic Intelligence Assistant",
instructions=(
"You help users interact with NOAA Space Weather — Solar & Geomagnetic Intelligence. "
"You have access to 6 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from NOAA Space Weather — Solar & Geomagnetic Intelligence"
)
print(result.final_output)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About NOAA Space Weather — Solar & Geomagnetic Intelligence MCP Server
Real-time space weather from NOAA's Space Weather Prediction Center.
The OpenAI Agents SDK auto-discovers all 6 tools from NOAA Space Weather — Solar & Geomagnetic Intelligence through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries NOAA Space Weather — Solar & Geomagnetic Intelligence, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Kp Index — Current geomagnetic activity (aurora threshold)
- Kp Forecast — 3-day predictions
- Solar Wind — Speed (km/s) and Bz from DSCOVR satellite
- Aurora Forecast — Ovation probability model (global)
- Solar Flux — F10.7 solar activity proxy
- Dst Index — Ring current storm intensity
Who Needs This?
Aurora hunters, satellite operators, HF radio operators, power grid managers, airline operators (polar routes), and space enthusiasts.The NOAA Space Weather — Solar & Geomagnetic Intelligence MCP Server exposes 6 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect NOAA Space Weather — Solar & Geomagnetic Intelligence to OpenAI Agents SDK via MCP
Follow these steps to integrate the NOAA Space Weather — Solar & Geomagnetic Intelligence MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 6 tools from NOAA Space Weather — Solar & Geomagnetic Intelligence
Why Use OpenAI Agents SDK with the NOAA Space Weather — Solar & Geomagnetic Intelligence MCP Server
OpenAI Agents SDK provides unique advantages when paired with NOAA Space Weather — Solar & Geomagnetic Intelligence through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
NOAA Space Weather — Solar & Geomagnetic Intelligence + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the NOAA Space Weather — Solar & Geomagnetic Intelligence MCP Server delivers measurable value.
Automated workflows: build agents that query NOAA Space Weather — Solar & Geomagnetic Intelligence, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries NOAA Space Weather — Solar & Geomagnetic Intelligence, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through NOAA Space Weather — Solar & Geomagnetic Intelligence tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query NOAA Space Weather — Solar & Geomagnetic Intelligence to resolve tickets, look up records, and update statuses without human intervention
NOAA Space Weather — Solar & Geomagnetic Intelligence MCP Tools for OpenAI Agents SDK (6)
These 6 tools become available when you connect NOAA Space Weather — Solar & Geomagnetic Intelligence to OpenAI Agents SDK via MCP:
get_aurora_forecast
Powered by real-time solar wind data. The gold standard for aurora forecasting worldwide. Get the aurora probability forecast map data (Ovation model)
get_dst_index
Measures the intensity of the ring current around Earth. Values below -50 nT indicate a moderate storm, below -100 nT a strong storm, below -250 nT a severe storm. Critical for satellite operators and power grid monitoring. Get the Dst index — real-time geomagnetic storm intensity
get_k_index_forecast
Use this to plan for aurora viewing, satellite vulnerabilities, or HF radio propagation impacts. Get the 3-day Kp index forecast — predicted geomagnetic activity
get_planetary_k_index
Kp ranges 0-9. Values ≥5 indicate geomagnetic storms with visible aurora at lower latitudes. Updated every 3 hours. Essential for aurora hunters, satellite operators, and power grid managers. Get the NOAA Planetary K-index — geomagnetic activity and aurora probability
get_solar_flux
7 solar flux index. Higher values (>100 SFU) indicate increased solar activity, more sunspots, and higher probability of solar flares and CMEs. Normal quiet-sun values are 70-80 SFU. Get the 10.7cm solar radio flux — a proxy for solar activity level
get_solar_wind
The solar wind drives geomagnetic storms — when speed exceeds 500 km/s with southward Bz, aurora probability increases dramatically. Get real-time solar wind speed and magnetic field conditions
Example Prompts for NOAA Space Weather — Solar & Geomagnetic Intelligence in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with NOAA Space Weather — Solar & Geomagnetic Intelligence immediately.
"Can I see the aurora tonight?"
"What is the current solar wind status?"
Troubleshooting NOAA Space Weather — Solar & Geomagnetic Intelligence MCP Server with OpenAI Agents SDK
Common issues when connecting NOAA Space Weather — Solar & Geomagnetic Intelligence to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
NOAA Space Weather — Solar & Geomagnetic Intelligence + OpenAI Agents SDK FAQ
Common questions about integrating NOAA Space Weather — Solar & Geomagnetic Intelligence MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
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Connect NOAA Space Weather — Solar & Geomagnetic Intelligence to OpenAI Agents SDK
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.